Abstract
The no. 11 coal seam in the deep area of Hancheng mining area is mining in recent years, which is threatened by the water inrush from the Ordovician limestone aquifer. Coal-floor water inrush is governed by the water abundance of coal-floor aquifer, the water-resisting performance of coal-floor aquitard, and the pathway connecting the water source and the working face. To make an accuracy risk assessment of water inrush from the no. 11 coal seam floor, a GIS-based vulnerability index method (VIM) is adopted for its superior comprehensive consideration of more controlling factors, powerful spatial analysis, and intuitively display functions. This study firstly established an index system including the water pressure of the coal-floor aquifer, the unit water inflow, the thickness, the core recovery percentage, the thickness ratio of brittle rocks to ductile rocks, the thickness of effective aquitard, and the accumulated length of faults and folds, of which the former six indexes governed the water abundance of the coal-floor aquifer which was combined with the last two factors to determine the risk of coal-floor water inrush. Secondly, the thematic map of each controlling factor is established by GIS using the geological prospecting data, and the weight of each factor is determined by the analytic hierarchy process (AHP) after consulting the expert review panel. At last, a vulnerability index is obtained and used to assess the risk of coal-floor water inrush of the no. 11 coal seam. The risk of water inrush of the no. 11 coal seam of the study area was ranked to three zones: the southeastern shallow area in red color is the dangerous zone, the wide northwestern area in green color is the safe zone, and the transition area in yellow color is the moderate-risk zone. Compared with the actual water-inrush incidents, the risk assessment result was verified to achieve an accuracy of 82.35%, which is proved to be a dependable reference for the prevention and controlling of coal-floor water inrush of the no. 11 coal seam in Hancheng mining area.
Similar content being viewed by others
References
Dong DL, Sun WJ, Xi S (2012) Water-inrush assessment using a GIS-based Bayesian network for the 12-2 coal seam of the Kailuan Donghuantuo Coal Mine in China. Mine Water Environ 31(2):138–146
Goldscheider N (2005) Karst groundwater vulnerability mapping: application of a new method in the Swabian Alb, Germany. Hydrogeol J 13(4):555–564
He XC (2016) Present situation and development trend of water disaster prevention and control technology. Inner Mongolia Coal Economy 17:36–37
Hu XY, Wang LG, Lu YL, Yu M (2014) Analysis of insidious fault activation and water inrush from the mining floor. Int J Min Sci Technol 24(4):477–483
Jiang YD, Lyu YK, Zhao YX, Zhang DY (2011) Similar simulation test of floor failure law on mining face on confined aquifer. Chin J Rock Mech Eng 30(08):1571–1578
Karimi H, Raeisi E, Bakalowicz M (2005) Characterising the main karst aquifers of the Alvand basin, northwest of Zagros, Iran, by a hydrogeochemical approach. Hydrogeol J 13(5):787–799
Li XP, Li YN (2014) Research on risk assessment system for water inrush in the karst tunnel construction based on GIS: case study on the diversion tunnel groups of the Jinping II Hydropower Station. Tunn Undergr Space Technol 40(2):182–191
Li SC, Li LP, Li SC, Feng XD, Li GY, Liu B, Wang J, Xu ZH (2010) Development and application of similar physical model test system for water inrush of underground engineering. Journal of Mining & Safety Engineering 27(3):299–304
Li CP, Li JJ, Li ZX, Hou DD (2013) Establishment of spatiotemporal dynamic model for water inrush spreading processes in underground mining operations. Saf Sci 55:45–52
Li SC, Liu B, Nie LC, Liu ZY, Tian MZ, Wang SR, Su MX, Guo Q (2015) Detecting and monitoring of water inrush in tunnels and coal mines using direct current resistivity method: a review. J Rock Mech Geotech Eng 7(4):469–478
Lu YL, Wang LG (2015) Numerical simulation of mining-induced fracture evolution and water flow in coal seam floor above a confined aquifer. Comput Geotech 67:157–171
Meng ZP, Li GQ, Xie XT (2012) A geological assessment method of floor water inrush risk and its application. Eng Geol 143:51–60
Ministry of Coal Industry (2009) Regulations for mine water prevention and control. Beijing Publ House of Coal Industry, Beijing
Panagopoulos G, Lambrakis N, Katagas C, Papoulis D, Tsolis-Katagas P (2005) Water-rock interaction induced by contaminated groundwater in a karst aquifer, Greece. Environ Geol 49(2):300–313
Qian QH, Lin P (2016) Safety risk management of underground engineering in China: progress, challenges and strategies. J Rock Mech Geotech Eng 8(4):423–442
Qiao W, Li W, Li T, Chang J, Wang Q (2017) Effects of coal mining on shallow water resources in semiarid regions: A Case Study in the Shennan Mining Area, Shaanxi, China. Mine Water Environ 36(1):104–113
Wang JA, Park HD (2003) Coal mining above a confined aquifer. Int J Rock Mech Min Sci 40(4):537–551
Wu Q, Xu H, Pang W (2008) GIS and ANN coupling model: an innovative approach to evaluate vulnerability of karst water inrush in coalmines of North China. Environ Geol 54(5):937–943
Wu Q, Wang JH, Liu DH, Cui FP, Liu SQ (2009) A new practical methodology of the coal floor water bursting evaluation IV: the application of AHP vulnerability index method based on GIS. J China Coal Soc 34(2):233–238
Wu Q, Zhao SQ, Sun WJ, Cui FP, Wu C (2013) Classification of the hydrogeological type of coal mine and analysis of its characteristics in China. J China Coal Soc 38(06):901–905
Wu Q, Liu Y, Luo L, Liu S, Sun W, Zeng Y (2014a) Quantitative evaluation and prediction of water inrush vulnerability from aquifers overlying coal seams in Donghuantuo Coal Mine. China. Environ Earth Sci 74(2):1429–1437
Wu Q, Fan ZL, Zhang ZW, Zhou WF (2014b) Evaluation and zoning of groundwater hazards in Pingshuo no. 1 underground coal mine, Shanxi Province, China. Hydrogeol J 22(7):1693–1705
Wu Q, Li WP, Li T, Chang JY, Wang QQ (2017a) Effects of coal mining on shallow water resources in semiarid regions: a case study in the Shennan mining area, Shaanxi, China. Mine Water Environ 36(1):104–113
Wu Q, Guo XM, Shen JJ, Xu S, Liu SQ, Zeng YF (2017b) Risk assessment of water inrush from aquifers underlying the Gushuyuan Coal Mine, China. Mine Water Environ 36:96–103
Xu K, Dai GL, Duan Z, Xue XY (2018) Hydrogeochemical evolution of an Ordovician limestone aquifer influenced by coal mining: a case study in the Hancheng mining area, China. Mine Water Environ 37(2):238–248
Yao BH, Bai HB, Zhang BY (2012) Numerical simulation on the risk of roof water inrush in Wuyang Coal Mine. Int J Min Sci Technol 22(2):273–277
Zhang JC (2005) Investigations of water inrushes from aquifers under coal seams. Int J Rock Mech Min Sci 42(3):350–360
Zhang R, Jiang ZQ, Zhou HY, Yang CW, Xiao SJ (2014) Groundwater outbursts from faults above a confined aquifer in the coal mining. Nat Hazards 71(3):1861–1872
Zhu B, Wu Q, Yang JW, Cui T (2014) Study of pore pressure change during mining and its application on water inrush prevention: a numerical simulation case in Zhaogezhuang coalmine, China. Environ Earth Sci 71(5):2115–2132
Acknowledgments
The anonymous reviewers are most gratefully acknowledged for their helpful suggestions and comments for improving the original manuscript.
Funding
This research is financially supported by the China National Science Foundation (Grant 41472234) and the Ministry of Land and Resources Key Laboratory of Coal Resources Exploration and Comprehensive Utilization and by the PhD Research Startup Foundation of Xi’an University of Science and Technology (Grant 2017QDJ012) and the Young Teachers’ Fostering Foundation of Xi’an University of Science and Technology (Grant 201607).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Dai, G., Xue, X., Xu, K. et al. A GIS-based method of risk assessment on no. 11 coal-floor water inrush from Ordovician limestone in Hancheng mining area, China. Arab J Geosci 11, 714 (2018). https://doi.org/10.1007/s12517-018-4071-8
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s12517-018-4071-8